



'''simple docstring'''




def       a     (					lowerCamelCase__		, lowerCamelCase__		, lowerCamelCase__=False       ):
			'''simple docstring'''





			if isinstance(a_		, a_       ) and isinstance(a_		, a_       ):
						A_      :		Tuple      =	len(set_a.intersection(a_       )       )

						if alternative_union:
									A_      :		Optional[int]      =	len(a_       ) + len(a_       )
						else:
									A_      :		str      =	len(set_a.union(a_       )       )

						return intersection / union

			if isinstance(a_		, (list, tuple)       ) and isinstance(a_		, (list, tuple)       ):
						A_      :		str      =	[element for element in set_a if element in set_b]

						if alternative_union:
									A_      :		List[Any]      =	len(a_       ) + len(a_       )
									return len(a_       ) / union
						else:
									A_      :		str      =	set_a + [element for element in set_b if element not in set_a]
									return len(a_       ) / len(a_       )

						return len(a_       ) / len(a_       )
			return None


if __name__ == "__main__":
						lowerCamelCase				:Optional[Any]							       =   {'''a''', '''b''', '''c''', '''d''', '''e'''}
						lowerCamelCase				:Dict							       =   {'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
						print(jaccard_similarity(set_a, set_b))






'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase									=   {
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """GraphormerForGraphClassification""",
					    """GraphormerModel""",
					    """GraphormerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_graphormer import (
										    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GraphormerForGraphClassification,
										    GraphormerModel,
										    GraphormerPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase									=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



